Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFB10010B099BB77346372DBF316FBD077898386C45B0A9912FE52A52EE1E119367028 |
|
CONTENT
ssdeep
|
48:QlP459fKa5Bu6rVzzj8c3UDWtCTGC1GHC9oCYPajq5Nb3ACHCwnC9CECrCrgyV6c:XKgu+PBycAM7A/bpAreP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9908267788dc7773 |
|
VISUAL
aHash
|
0000081818ffffff |
|
VISUAL
dHash
|
110d32b2b215a251 |
|
VISUAL
wHash
|
0000181899ffffff |
|
VISUAL
colorHash
|
00000000cc0 |
|
VISUAL
cropResistant
|
8696f28271736ded,110d32b2b215a251 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 300 techniques to evade detection by security scanners and make reverse engineering more difficult.